[CODATA-international] Fwd: Call for Special Tracks - Data for Policy 2021

YARIME Masaru yarimemasa at gmail.com
Fri Nov 13 01:23:45 EST 2020


Dear colleagues,

I would like to inform you that the Data for Policy 2021 Conference will
take place on September 14-16, 2021 at University College London.

As a member of the International Organisation Committee, I would like to
invite you to submit special track proposals at the conference. The
deadline is December 10, 2020.

Special tracks can be considered tor post-conference publication of a
Special Collection of articles in Data & Policy, an open-access journal
published by Cambridge University Press.

Please let me know if you have any questions.

Thank you very much.

Best regards,
YARIME Masaru

*********************************************************************************************************************************
YARIME Masaru, Ph.D.
Associate Professor, Division of Public Policy (PPOL), The Hong Kong
University of Science and Technology (HKUST)
Office: Room 4611 (Lift 31/32), PPOL, HKUST, Clear Water Bay, Kowloon, Hong
Kong
Phone: +852-3469-2283; E-mail: yarime at ust.hk; Web:
https://ppol.ust.hk/ppl/faculty/prof_masaru_yarime; http://yarime.net/
Honorary Associate Professor, Department of Science, Technology,
Engineering & Public Policy, University College London
Visiting Associate Professor, Graduate School of Public Policy, The
University of Tokyo
**********************************************************************************************************************************


---------- Forwarded message ---------
From: Data for Policy 2021 <team at dataforpolicy.org>
Date: Thu, Nov 12, 2020 at 9:05 PM
Subject: Call for Special Tracks - Data for Policy 2021
To: Masaru Yarime <yarimemasa at gmail.com>


Call for Special Tracks

Call for Area Editors
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=7e596f5f5d&e=f6c656789c>
*Data & Policy* is looking for six Area Editors to extend its editorial
team. The journal aims to deepen knowledge about how policy and data relate
to each other (“policy-data interactions”), as explored in the opening
editorial
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=7fd8aef5bc&e=f6c656789c>.
As part of the next phase of development, we are seeking six Area Editors
who can commission and handle papers that relate to this aim.

Call for Communications Editor
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=05b290c69f&e=f6c656789c>
*Data & Policy* is looking for a Communications Editor. We are seeking
someone with expertise in digital communications and an interest in the way
that data science is transforming policy and governance to help us develop
our social media and communications strategy for two related projects.

6th International Conference

*Data for Policy 2021*
14-16 September 2021, UCL, London

*Call for Special Tracks *(Deadline: 10 December 2020)

dataforpolicy.org
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=23ffdb60e1&e=f6c656789c>
| @dataforpolicy
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=4f171eee3c&e=f6c656789c>
| cambridge.org/dap
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=e492d0d918&e=f6c656789c>
| @data_and_policy
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=5d0f21cd27&e=f6c656789c>

The International Organisation Committee for the Data for Policy 2021
invites special track proposals at the conference, also leading to the
peer-review and potential publication of a Special Collection of articles
in Data & Policy (published by CUP) after the conference. Special tracks
will draw on and build communities around areas of interest, with a view to
continuing in future years.

In association with Cambridge University Press, the Alan Turing Institute
and the Office for National Statistics, the sixth edition of the
international Data for Policy conferences is scheduled to take place in
September 2021. The conference series is the top global forum for multiple
disciplinary and cross-sector debate around the theories, applications and
the implications of data science innovation in the public sector and
governance.

*Areas of Interest:*
Special track proposals are directed to developing conference sessions in
one or more of the areas of interest, or in relevant emerging areas.

   - *Data-driven Transformations in Policy and Governance *– this standard
   track focuses on the high-level vision for philosophy, ideation, formulation
   and implementation of new approaches leading to paradigm shifts, innovation
   and efficiency gains in collective decision making processes. Topics may
   include:
      - Data-driven innovation in public, private and voluntary sector
      governance and policy-making at all levels (international, national and
      local): applications for real-time management, future planning, and
      rethinking/reframing governance and policy-making in the digital era;
      - Data and evidence-based policy-making;
      - Government-private sector-citizen interactions: data and digital
      power dynamics, asymmetry of information; democracy, public opinion and
      deliberation; citizen services;
      - Interactions between human, institutional and algorithmic
      decision-making processes, psychology and behaviour of decision-making;
      - Global policy-making: global existential debates on utilizing
      data-driven innovation with impact beyond individual institutions and
      states;
      - Socio-technical and cyber-physical systems, and their policy and
      governance implications.

The remaining categories represent more specifically the current
applications, methodologies, strategies which underpin the broad aims of
Data for Policy’s vision:

   - *Focus on Data Technologies and Analytics for Policy and Governance *–
   this track is concerned with data in its variety of forms and sources, and
   infrastructure and methods for its utilisation in policy and governance:
      - Data sources: Personal and proprietary data, administrative data
      and official statistics, open and public data, organic vs designed data,
      sensory and mobile data, digital footprints, crowdsourced data, and other
      relevant data;
      - Technologies: Artificial intelligence, blockchain, internet of
      things, platform technologies, digital twins, visualisation and user
      interaction technologies, data and analytics infrastructures, cloud and
      mobile technologies;
      - Methodologies and Analytics: Mathematical and statistical models,
      computational statistics, machine learning, edge analytics, federated
      learning, theory and data-driven knowledge generation, multiple
      disciplinary methodologies, real-time and historical data processing,
      geospatial analysis, simulation, gaps in theory and practice.


   - *Focus on the Policy Frameworks, Governance and Management of
   Data-driven Innovations *– this track focusses on governance practices
   and management issues involved in implementation of data-driven solutions:
      - Data and algorithm design principles and accountability;
      - Local, national and international governance models and frameworks
      for data and associated technologies;
      - Data and algorithms in the law;
      - General Data Protection Regulation (GDPR) and other regulatory
      frameworks;
      - Data intermediaries, trusts and collaboratives;
      - Meta-data, interoperability and standards;
      - Data ownership, provenance, sharing, supply chains, linkage,
      curation and expiration;
      - Data sovereignty and data spaces.


   - *Focus on Ethics, Equity and Trust in Policy Data Interactions *– this
   track examines the issues which must be considered in technology design and
   assessment.
      - Digital Ethics: Data, algorithms, models and dynamic interactions
      between them;
      - Digital trust, and human-data-machine interactions in policy
      context;
      - Responsible technology design and assessment;
      - Privacy and data sharing;
      - Digital identification, personhood, and services;
      - Uncertainties, bias, and imperfections in data and data-driven
      systems;
      - Algorithmic behaviour: equity and fairness, transparency and
      explainability, accountability, and interpretability;
      - Human-machine collaboration in strategic decision making and
      algorithm agency;
      - Human control, rights, democratic values, and self-determination.

The following are areas which fall within the above categories, but are
highlighted as being of special interest:

   - *Focus on Data to Tackle Global Issues and Dynamic Societal Threats:*
      - Human existence and the planet;
      - International collaboration for global risk management and disaster
      recovery;
      - Global health, emergency response, Covid-19 and pandemics;
      - Sustainable development, climate change and the environment;
      - Humanitarian data science, international migration, gender-based
      issues and racial justice;
      - International competition and cultures of digital transformation.


   - *Focus on Algorithmic Governance:*
      - Data-driven insights in governance decision making, black-box
      processing;
      - Algorithm agency along with human and institutional decision-making
      processes;
      - Government automation: citizen service delivery, supporting civil
      servants, managing national public records and physical infrastructure,
      statutes and compliance, and public policy development;
      - Algorithmic ‘good’ governance: participation, consensus
      orientation, accountability, transparency, responsiveness, effectiveness
      and efficiency, equity and inclusiveness, and the rule of law.

The interrelatedness of all categories is undeniable, and the
categorization above does not indicate siloed activity. It is rather an
articulation of the breadth and depth of the vision and mission for
improved data-driven decisions and policymaking, which is the ethos of both
Data for Policy and Data & Policy.

*Instructions for Special Track submissions: *
Those interested in organising a Special Track at the Data for Policy 2021
Conference should send a brief description (up to 1000 words) through
the conference
submission system
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=c1ae64c29c&e=f6c656789c>.
If the Special Track is proposed by a group, one person should be
identified as the Chair to coordinate with the Data for Policy Team in
submissions and the review process.

The Special Track descriptions should cover the following information:

   - The title of the proposed Special Track;
   - An overview of the motivation and topics to be covered;
   - How the collection fits within the scope of the conference themes;
   - Your plans to circulate your Special Track announcement to reach
   relevant communities and networks;
   - Whether you are interested in editing a Special Collection in Data &
   Policy, deriving from the Special Track, which will involve guiding
   submitted articles through the journal’s peer review process, supported by
   the Data & Policy editorial team and publisher.

The deadline for Special Track Proposals is 10/12/2020. Following review,
we will inform Special Track leads and feature successful proposals in the
main call for papers for the conference.

*Special Track process: *
If their proposal is accepted, Special Track Chairs will play an active
role in the run up to and during the conference. We expect Special Track
Chairs to:

   - Circulate an announcement about their Special Track to their networks,
   following the Call for Papers sent by the Data for Policy conference team
   that will ask interested authors to submit extended abstracts;
   - Review the extended abstracts relevant to their Special Tracks for
   final decision by the International Organisation Committee, who will notify
   those accepted to present at the conference;
   - Organise the programme for their Special Track at the conference, in
   conjunction with the conference organisers – which will, for example,
   involve the grouping of submissions into panels, and organising panel
   chairs;
   - Report on the success of the track in the form of a *Data & Policy*
   blog, and communicate issues or improvements to the organisers after the
   conference;
   - Make assessments about the potential for publications arising from the
   Special Track, especially if the Chair wishes to edit a Special Collection
   in Data & Policy.

*Special Collections in Data & Policy: *
Following the establishment of Data & Policy, we invite Special Track
Chairs to become actively involved in the process of editing a Special
Collection in the journal related to their track.

This does imply additional work beyond the timeline of the conference, so
it is not required, but it is something we encourage in the interest of
further disseminating scholarly discussion about data science, governance
and the public sector.

Those accepted to present at the conference will be given two complementary
options for disseminating their paper and related materials. They will be
encouraged to use the Data for Policy community platform on Zenodo (
https://zenodo.org/communities/dfp17
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=1ed47e4d6b&e=f6c656789c>),
an open repository, in order to make their conference paper and any related
materials – such slides, audio, video, datasets and code – available at the
time of the conference. In addition, authors will have the option of
submitting their paper to Data & Policy, in order to undergo a peer review
process that could potentially lead to formal publication in the journal.

Special Track Chairs wishing to become involved in the editorial process
are invited to act as Guest Editors of Special Collections in Data &
Policy. This will involve:

   - Short-listing of the Special Track papers to those that form a
   thematically coherent collection of publications, presenting the key issues;
   - Guiding submitted papers through the journal’s peer review process
   (inviting reviewers, recommending decisions to the Data & Policy
   Editors-in-Chief);
   - Writing an editorial to introduce the Special Collection.

Note that the timeline for Special Collections will extend well beyond that
of the conference, with submissions and peer review beginning after
September 2021 and continuing through 2022. All submitted articles will be
peer-reviewed independently, and accepted or rejected on their own merits
according to the journal’s process.

Data & Policy is a collaborative effort to produce for this community a
peer-reviewed and authoritative resource about the potential and
implications of data science for governance, and Special Track Chairs
interested in editing Special Collections will receive plenty of support
from both the Data & Policy editorial team, the Data for Policy Community
Manager and the journal’s publisher, Cambridge University Press.

*Visit the official conference page
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=e42a6e6381&e=f6c656789c>*

*Contacts: *
For all questions related to Special Tracks at the conference, please
contact team at dataforpolicy.org; and for questions relating to Special
Collections in Data & Policy, please contact dataandpolicy at cambridge.org

*Copyright © 2020 Data for Policy CIC, All rights reserved.*
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